Top Machine Learning Jobs

Design and maintain scalable ML models for logistics. Own end-to-end projects and collaborate with teams to deliver impactful customer features.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

As a Senior Machine Learning Engineer at Unity, you will modernize infrastructure, build intelligent systems using LLMs, and mentor teammates.

The Senior Machine Learning Engineer will modernize Unity's AI systems by designing intelligent agents, developing applications, and ensuring quality through collaboration and innovation.

The ML Research Engineer will develop training pipelines for atomistic simulation models and collaborate with researchers to optimize training workflows.

The Machine Learning Engineer will train, fine-tune, and deploy ML models for parsing unstructured data, and build data pipelines for product integration.

The intern will assist in training and evaluating machine learning models, using AI tools for development, and providing feedback on features, while validating model performance and usability.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

As an ML Engineer, you will develop and deploy machine learning models, collaborate on research, and mentor team members in materials science applications.

The Machine Learning Engineer will develop ML infrastructure, optimize models for anomaly detection, and manage technical projects to enhance space cybersecurity.

As a Senior Machine Learning Engineer, you will drive AI vision, develop models, and collaborate cross-functionally to enhance user experiences.

The Staff Machine Learning Engineer will lead ML strategy, architect AI infrastructure, mentor engineers, and develop impactful AI systems.

Lead the design and deployment of E2E ML architectures for autonomous driving, focusing on datasets and system intelligence improvements. Mentor teams and establish evaluation frameworks.

The Machine Learning Engineer will design, build, and ship production-grade AI systems, collaborating with teams to optimize workflows and evaluate AI results.

The ML Research Engineer will develop and train embedding models for a search engine, focusing on novel transformer architectures and dataset creation.

The Machine Learning Engineer will design, develop, and maintain production machine learning models and algorithms, ensuring their efficiency and reliability in deployment.

As an AI/ML Engineering Intern, you'll assist in building data pipelines, optimizing distributed systems, and deploying machine learning applications, gaining hands-on experience with advanced AI technologies.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

As a Principal Machine Learning Engineer, you will develop optimization algorithms, manage deployment pipelines, and mentor engineers in deep learning techniques.

The role involves building and scaling infrastructure for machine learning, particularly focused on Large Language Models, while providing technical leadership and mentoring juniors.

Lead the development of AI-driven search and recommendation systems, mentoring a team, optimizing ML models, and collaborating across teams to transform construction procurement.

As a Senior Machine Learning Engineer, you'll develop advanced AI systems, focusing on search ranking, recommendation engines, and document extraction. You'll oversee model design, implementation, and deployment while collaborating with teams to innovate construction technology solutions.

Design and implement AI-driven features for claims synthesis, leveraging LLMs and statistical techniques, while ensuring system performance and accuracy.